Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Application of Improved Template Matching Algorithm in Target Image Detection

Authors
Guoquan Ren, Wentao Jiang, Dongwei Li, Guozhang Li
Corresponding Author
Guoquan Ren
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.104How to use a DOI?
Keywords
Target Detection, Template Matching, Normalized Correlation, Optimal Searching Step-time
Abstract
In view of the disadvantage of the current method for target detection that poor efficiency and poor real-time, a novel method of target detection based on digital image processing technology was proposed. The traditional normalized correlation template matching algorithm was improved via setting optimal searching step-time in that method, which can greatly reduce the amount of computation and enhance the matching speed. The experimental results show that the proposed algorithm has high accuracy and high speed, and it can be applied in target image detection effectively.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.104How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guoquan Ren
AU  - Wentao Jiang
AU  - Dongwei Li
AU  - Guozhang Li
PY  - 2016/03
DA  - 2016/03
TI  - Application of Improved Template Matching Algorithm in Target Image Detection
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 518
EP  - 522
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.104
DO  - https://doi.org/10.2991/icmmct-16.2016.104
ID  - Ren2016/03
ER  -